DEVELOPMENT... OpenML
Run
38036

Run 38036

Task 4544 (Supervised Classification) JapaneseVowels Uploaded 28-10-2014 by Felicia West
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Flow

weka.MultiBoostAB_ADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_C3
weka.MultiBoostAB_ADTree(2)_P100
weka.MultiBoostAB_ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_I20
weka.MultiBoostAB_ADTree(2)_Wweka.classifiers.trees.ADTree

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.9891
Per class
Build CPU time
18.9777
Build memory
766040222.1412
F measure
0.9787
Per class
Kappa
0.9211
KB relative information score
90018.8917
Mean absolute error
0.0214
Mean prior absolute error
0.2716
Number of instances
99610
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9786
Per class
Predictive accuracy
0.9788
Prior entropy
0.6393
Recall
0.9788
Per class
Relative absolute error
0.0787
Root mean prior squared error
0.3685
Root mean squared error
0.14
Root relative squared error
0.3799
SciMark benchmark
938.0657

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